Dataset Versions

v1

2024-08-07 4:14am

Generated on Aug 7, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
1236Images
Valid Set 8%
118Images
Test Set 4%
59Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Hue: Between -17° and +17°
Saturation: Between -19% and +19%
Brightness: Between -53% and +53%
Blur: Up to 2.5px
Cutout: 2 boxes with 6% size each
Bounding Box: Brightness: Between -19% and +19%

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